Triple
T1822787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Calera |
E40577
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Cáqueza |
E31999
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cáqueza | Statement: [La Calera, borders, Cáqueza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cáqueza Context triple: [La Calera, borders, Cáqueza]
-
A.
Cáqueza
chosen
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
B.
Cauqui
Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
-
C.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
D.
Chukchucha
Chukchucha is a village-level settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
E.
Ráquira
Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662d13e88190a22b0faf0d848c7d |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1bf7b3c81909fd2d548be2baa8f |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:32 p.m.